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Investigating the Impact of Humor on Learning in Robot-Assisted Education

  • Institut Polytechnique de Paris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Social robots have shown significant potential in enhancing learning experiences, and humor has been proven to be beneficial for learning. This study investigates the impact of both the presence and timing of humor on students' learning outcomes and overall learning experience. A total of 24 participants were randomly assigned to one of the three conditions: (C1) interact with a robot with no humor, (C2) interact with a robot with humor at pre-defined moments during the lesson, and (C3) interact with a robot that triggers humor based on engagement levels. The results revealed that the humor at pre-defined moments condition (C2) led to significantly better learning outcomes and longer interaction times compared to the other two conditions. While the adaptive humor in Condition C3 did not significantly outperform Condition C1, it showed positive effects on participants' perceived learning effectiveness and engagement. These findings contribute to the understanding of how humor, when strategically timed, can enhance the effectiveness of social robots in educational settings.

Original languageEnglish
Title of host publicationIROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings
EditorsChristian Laugier, Alessandro Renzaglia, Nikolay Atanasov, Stan Birchfield, Grzegorz Cielniak, Leonardo De Mattos, Laura Fiorini, Philippe Giguere, Kenji Hashimoto, Javier Ibanez-Guzman, Tetsushi Kamegawa, Jinoh Lee, Giuseppe Loianno, Kevin Luck, Hisataka Maruyama, Philippe Martinet, Hadi Moradi, Urbano Nunes, Julien Pettre, Alberto Pretto, Tommaso Ranzani, Arne Ronnau, Silvia Rossi, Elliott Rouse, Fabio Ruggiero, Olivier Simonin, Danwei Wang, Ming Yang, Eiichi Yoshida, Huijing Zhao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21466-21473
Number of pages8
ISBN (Electronic)9798331543938
DOIs
Publication statusPublished - 1 Jan 2025
Event2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025 - Hangzhou, China
Duration: 19 Oct 202525 Oct 2025

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
Country/TerritoryChina
CityHangzhou
Period19/10/2525/10/25

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